Muzammil Jusoh
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Preferred name
Muzammil Jusoh
Official Name
Muzammil, Jusoh
Alternative Name
Jusoh, M.
Jusoh, Muzammil
Jusoh, Muzammi
Jusoh, Muzammir
Main Affiliation
Scopus Author ID
24483755700
Researcher ID
Z-1156-2019

Research Output

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  • Publication
    Steerable higher order mode dielectric resonator antenna with parasitic elements for 5G applications
    ( 2017)
    Nor Hidayu Shahadan
    ;
    Mohd Haizal Jamaluddin
    ;
    Muhammad Ramlee Kamarudin
    ;
    Yoshihide Yamada
    ;
    Mohsen Khalily
    ;
    Muzammil Jusoh
    ;
    Samsul Haimi Dahlan
    This paper presents the findings of a steerable higher order mode (TEy 1δ3) dielectric resonator antenna with parasitic elements. The beam steering was successfully achieved by switching the termination capacitor on the parasitic element. In this light, all of the dielectric resonator antennas (DRAs) have the same dielectric permittivity similar to that of ten and excited by a 50 microstrip with a narrow aperture. The effect of the mutual coupling on the radiation pattern and the reflection coefficient, as well as the array factor, was investigated clearly using MATLAB version 2014b and ANSYS HFSS version 16. As the result, the antenna beam of the proposed DRA array managed to steer from −32◦ to +32◦ at 15 GHz. furthermore, the measured antenna array showed the maximum gain of 9.25 dBi and the reflection coefficients which are less than −10 dB with the bandwidth more than 1.3 GHz, which is viewed as desirable for device-to-device communication in 5G Internet of Things applications.
  • Publication
    Green Nanocomposite-Based metamaterial electromagnetic absorbers: Potential, current developments and future perspectives
    ( 2020)
    Nurul Fatihah Nabila Yah
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohdfareq Abdulmalek
    ;
    Soh Ping Jack
    ;
    R. Badlishah, Ahmad
    ;
    Muzammil Jusoh
    ;
    Lee Yeng Seng
    ;
    Mohd Haizal Jamaluddin
    ;
    Mohd Najib Mohd Yasin
      17  17
  • Publication
    Electrically tunable Left-Handed textile metamaterial for microwave applications
    ( 2021)
    Kabir Hossain
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    Ping Jack Soh
    ;
    Mohd Haizal Jamaluddin
    ;
    Samir Salem Al-Bawri
    ;
    Mohamed Nasrun Osman
    ;
    R. Badlishah, Ahmad
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohd Najib Mohd Yasin
    ;
    Nitin Saluja
    An electrically tunable, textile-based metamaterial (MTM) is presented in this work. The proposed MTM unit cell consists of a decagonal-shaped split-ring resonator and a slotted ground plane integrated with RF varactor diodes. The characteristics of the proposed MTM were first studied independently using a single unit cell, prior to different array combinations consisting of 1 × 2, 2 × 1, and 2 × 2 unit cells. Experimental validation was conducted for the fabricated 2 × 2 unit cell array format. The proposed tunable MTM array exhibits tunable left-handed characteristics for both simulation and measurement from 2.71 to 5.51 GHz and provides a tunable transmission coefficient of the MTM. Besides the left-handed properties within the frequency of interest (from 1 to 15 GHz), the proposed MTM also exhibits negative permittivity and permeability from 8.54 to 10.82 GHz and from 10.6 to 13.78 GHz, respectively. The proposed tunable MTM could operate in a dynamic mode using a feedback system for different microwave wearable applications.
      4  22
  • Publication
    A Fuzzy-Based Angle-of-Arrival Estimation System (AES) using Radiation Pattern Reconfigurable (RPR) antenna and modified gaussian membership function
    ( 2019)
    Mohd Ilman Jais
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    R. Badlishah, Ahmad
    ;
    Mohd Haizal Jamaluddin
    ;
    Muhammad Ramlee Kamarudin
    ;
    Phak Len Al Eh Kan
    ;
    L. Murukesan Loganathan
    ;
    Soh Ping Jack
    Angle-of-arrival (AOA) estimation is an important factor in various wireless sensing applications, especially localization systems. This paper proposes a new type of AOA estimation sensor node, known as AOA-estimation system (AES) where the received signal strength indication (RSSI) from multiple radiation pattern reconfigurable (RPR) antennas are used to calculate the AOA. In the proposed framework, three sets of RPR antennas have been used to provide a coverage of 15 regions of radiation patterns at different angles. The salient feature of this RPR-based AOA estimation is the use of Fuzzy Inferences System (FIS) to further enhance the number of estimation points. The introduction of a modified FIS membership function (MF) based on Gaussian function resulted in an improved 85% FIS aggregation percentage between the fuzzy input and output. This later resulted in a low AOA error (of less than 5%) and root-mean- square error (of less than 8â—¦ ).
      1  26